Mac mini (Late 2020)
Geekbench AI Score
3227
Single Precision Score
15428
Half Precision Score
15259
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonya1 |
| Upload Date | January 07 2025 04:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
6071
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5760
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9553
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9827
159.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68780
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66479
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
6966
554.1 IPS |
|
|
Object Detection (Q)
|
91% |
6652
531.5 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
15540
184.7 IPS |
|
|
Face Detection (Q)
|
100% |
14316
170.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5840
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47277
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
50139
391.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16720
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120664
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114881
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23993
886.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24408
901.3 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4035
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3368
58.2 IPS |
